科学学研究 ›› 2024, Vol. 42 ›› Issue (1): 67-75.
收稿日期:2022-10-31
修回日期:2023-01-02
出版日期:2024-01-15
发布日期:2024-01-15
作者简介:张利飞(1979-),女,副教授,博士,E-mail:lifei@hnu.edu.cn。基金资助:Received:2022-10-31
Revised:2023-01-02
Online:2024-01-15
Published:2024-01-15
摘要:
随着全球通信企业技术标准竞争的加剧,原来频发于后发企业的技术引进活动,近年来也在技术领先型企业中发生。本文将着力于解释那些技术领先型企业通过技术引进,整合内外部技术,推动技术标准国际化的基本过程。以2000-2019年全球技术领先型通信企业为研究样本,探究技术引进对企业技术标准国际化的影响及其实现机制。研究结果表明,技术引进显著促进企业技术标准国际化,但是技术引进在当期模型中影响力更大,由于通信领域技术和产品更新迭代非常快,通信企业的技术引进大多以产品创新为目标,需要企业在短时间消化吸收技术以推动产品竞争,实现用户规模优势,进一步为技术标准国际竞争抢占先机。进一步机制检验发现,研发投入是技术“引进来”阶段助力企业实现自主创新的重要因素,产品国际化贸易和专利国际化是推动企业将自主创新成果转化为国际标准的重要渠道。异质性分析结果显示,发达国家企业、高龄企业能在更短的时间内实现技术引进、消化吸收和再创新,并迅速转化为国际技术标准能力。发展中国家企业和低龄企业则需要更长的技术吸收周期来形成自身技术标准能力。
中图分类号:
张利飞, 张嘉文. 从技术“引进来”到标准“走出去”——基于全球通信企业的实证研究[J]. 科学学研究, 2024, 42(1): 67-75.
ZHANG Li-fei, ZHANG Jia-wen. From "bringing in" of technology to "going out" of standards: An empirical study based on global communication enterprises[J]. Studies in Science of Science, 2024, 42(1): 67-75.
| 类型 | 名称 | 测度方式 | 代码 | 智慧芽数据库检索字段 |
|---|---|---|---|---|
| 因变量 | 技术标准国际化 | 标准必要专利数 | SEP | SEP:1 AND ALL_AN:(公司名) |
| 自变量 | 技术引进 | 国内外专利转进数 | TI | TRANSFER_AFTER:(公司名) |
| 机制变量 | 自主创新能力 | 自主研发专利数 | IR | AN:(公司名) AND AN_COUNT:1 |
| 产品国际化贸易 | 国外销售金额 | FS | ||
| 专利国际化 | 国际专利数 | PCT | AUTHORITY:(WO) AND ALL_AN:(公司名) | |
| 控制变量 | 企业年龄 | 2019-企业成立年份 | AGE | |
| 研发投入 | 研发费用 | R&D | ||
| 技术许可 | 国内外专利受许可数 | LIC | LICENSEE:(公司名) NOT ANC:(公司名) |
表1 变量定义表
Table 1 Variable definition table
| 类型 | 名称 | 测度方式 | 代码 | 智慧芽数据库检索字段 |
|---|---|---|---|---|
| 因变量 | 技术标准国际化 | 标准必要专利数 | SEP | SEP:1 AND ALL_AN:(公司名) |
| 自变量 | 技术引进 | 国内外专利转进数 | TI | TRANSFER_AFTER:(公司名) |
| 机制变量 | 自主创新能力 | 自主研发专利数 | IR | AN:(公司名) AND AN_COUNT:1 |
| 产品国际化贸易 | 国外销售金额 | FS | ||
| 专利国际化 | 国际专利数 | PCT | AUTHORITY:(WO) AND ALL_AN:(公司名) | |
| 控制变量 | 企业年龄 | 2019-企业成立年份 | AGE | |
| 研发投入 | 研发费用 | R&D | ||
| 技术许可 | 国内外专利受许可数 | LIC | LICENSEE:(公司名) NOT ANC:(公司名) |
| 变量 | SEP | TI | AGE | R&D | LIC |
|---|---|---|---|---|---|
| SEP | 1 | ||||
| TI | 0.266*** | 1 | |||
| AGE | 0.120*** | 0.206*** | 1 | ||
| R&D | 0.209 *** | 0.488*** | 0.245*** | 1 | |
| LIC | 0.122*** | 0.444*** | -0.016 | 0.230*** | 1 |
| 平均值 | 249.007 | 280.236 | 46.949 | 1914437 | 0.825 |
| 标准差 | 622.305 | 687.621 | 41.284 | 3043380 | 2.877 |
表2 变量相关系数表
Table 2 Variable correlation coefficient
| 变量 | SEP | TI | AGE | R&D | LIC |
|---|---|---|---|---|---|
| SEP | 1 | ||||
| TI | 0.266*** | 1 | |||
| AGE | 0.120*** | 0.206*** | 1 | ||
| R&D | 0.209 *** | 0.488*** | 0.245*** | 1 | |
| LIC | 0.122*** | 0.444*** | -0.016 | 0.230*** | 1 |
| 平均值 | 249.007 | 280.236 | 46.949 | 1914437 | 0.825 |
| 标准差 | 622.305 | 687.621 | 41.284 | 3043380 | 2.877 |
| 因变量 | SEPt | SEPt+1 | SEPt+2 |
|---|---|---|---|
| (1) | (2) | (3) | |
| TI | 0.047** (0.0194) | 0.035* (0.0203) | 0.030 (0.0214) |
| AGE | 0.234*** (0.0428) | 0.228*** (0.0430) | 0.218*** (0.0434) |
| R&D | 0.063*** (0.0108) | 0.063*** (0.0112) | 0.065*** (0.0116) |
| LIC | -0.046 (0.0437) | -0.046 (0.0460) | -0.041 (0.0480) |
| CONS | -2.578*** (0.191) | -2.212*** (0.180) | -1.957*** (0.176) |
| 个体/时间固定效应 | YES | YES | YES |
| 观测值 | 1340 | 1273 | 1206 |
| Chi2 | 577.41 | 470.98 | 390.10 |
表3 技术引进对技术标准国际化影响回归结果
Table 3 Regression results of the impact of technology introduction on the internationalization of technical standards
| 因变量 | SEPt | SEPt+1 | SEPt+2 |
|---|---|---|---|
| (1) | (2) | (3) | |
| TI | 0.047** (0.0194) | 0.035* (0.0203) | 0.030 (0.0214) |
| AGE | 0.234*** (0.0428) | 0.228*** (0.0430) | 0.218*** (0.0434) |
| R&D | 0.063*** (0.0108) | 0.063*** (0.0112) | 0.065*** (0.0116) |
| LIC | -0.046 (0.0437) | -0.046 (0.0460) | -0.041 (0.0480) |
| CONS | -2.578*** (0.191) | -2.212*** (0.180) | -1.957*** (0.176) |
| 个体/时间固定效应 | YES | YES | YES |
| 观测值 | 1340 | 1273 | 1206 |
| Chi2 | 577.41 | 470.98 | 390.10 |
| 变量 | IR |
|---|---|
| TI | 0.177*** (0.0143) |
| AGE | 0.494*** (0.0372) |
| R&D | 0.080*** (0.0090) |
| LIC | 0.036 (0.0257) |
| CONS | -2.421*** (0.1440) |
| 个体/时间固定效应 | YES |
| 观测值 | 1302 |
| Chi2 | 1103.39 |
表4 机制检验:技术引进对自主创新的影响结果
Table 4 Mechanism test: The impact of technology introduction on independent innovation
| 变量 | IR |
|---|---|
| TI | 0.177*** (0.0143) |
| AGE | 0.494*** (0.0372) |
| R&D | 0.080*** (0.0090) |
| LIC | 0.036 (0.0257) |
| CONS | -2.421*** (0.1440) |
| 个体/时间固定效应 | YES |
| 观测值 | 1302 |
| Chi2 | 1103.39 |
| 变量 | FS | PCT |
|---|---|---|
| (1) | (2) | |
| IR | 0.179*** (0.0210) | 0.254*** (0.0251) |
| AGE | 0.177*** (0.0437) | 0.202*** (0.0494) |
| R&D | 0.116*** (0.0104) | 0.066*** (0.0124) |
| LIC | 0.063* (0.0357) | 0.018 (0.0404) |
| CONS | -2.839*** (0.1750) | -3.755*** (0.2530) |
| 个体/时间固定效应 | YES | YES |
| 观测值 | 1188 | 1069 |
| Chi2 | 859.12 | 465.25 |
表5 机制检验:自主创新对产品国际化贸易、专利国际化布局的影响
Table 5 Mechanism test: The impact of independentinnovation on product international trade and patent internationalization
| 变量 | FS | PCT |
|---|---|---|
| (1) | (2) | |
| IR | 0.179*** (0.0210) | 0.254*** (0.0251) |
| AGE | 0.177*** (0.0437) | 0.202*** (0.0494) |
| R&D | 0.116*** (0.0104) | 0.066*** (0.0124) |
| LIC | 0.063* (0.0357) | 0.018 (0.0404) |
| CONS | -2.839*** (0.1750) | -3.755*** (0.2530) |
| 个体/时间固定效应 | YES | YES |
| 观测值 | 1188 | 1069 |
| Chi2 | 859.12 | 465.25 |
| 变量 | 发达国家企业 | 发展中国家企业 | 高龄 | 低龄 | ||||
|---|---|---|---|---|---|---|---|---|
| t | t+1 | t | t+1 | t | t+1 | t | t+1 | |
| TI | 0.0570*** (0.0216) | 0.0389* (0.0224) | 0.296*** (0.0517) | 0.289*** (0.0531) | 0.0675** (0.0332) | 0.0286 (0.0342) | 0.0612** (0.0253) | 0.0679** (0.0267) |
| AGE | -0.128*** (0.0460) | -0.115** (0.0453) | 0.431** (0.207) | 0.376* (0.196) | -0.133 (0.218) | -0.157 (0.223) | 0.451*** (0.0768) | 0.426*** (0.0750) |
| R&D | 0.0255** (0.0117) | 0.0254** (0.0119) | 0.179*** (0.0306) | 0.176*** (0.0314) | 0.0134 (0.0254) | 0.0288 (0.0254) | 0.0783*** (0.0124) | 0.0748*** (0.0128) |
| LIC | -0.0162 (0.0485) | -0.0336 (0.0511) | 0.0366 (0.0847) | 0.0489 (0.0898) | -0.0159 (0.0657) | -0.004 (0.0702) | -0.0996* (0.0553) | -0.133** (0.0581) |
| CONS | -0.717*** (0.210) | -0.416** (0.202) | -6.720*** (1.103) | -5.249*** (0.707) | -0.371 (1.069) | 0.0482 (1.087) | -3.169*** (0.264) | -2.807*** (0.248) |
| 个体/时间 固定效应 | YES | YES | YES | YES | YES | YES | YES | YES |
| 观测值 | 1140 | 1083 | 200 | 190 | 532 | 502 | 805 | 769 |
| Chi2 | 364.64 | 272.33 | 488.86 | 464.28 | 142.12 | 104.40 | 426.10 | 363.31 |
表6 基于不同经济发展水平、不同年龄的异质性分析
Table 6 Heterogeneity analysis based on different economic development levels and different ages
| 变量 | 发达国家企业 | 发展中国家企业 | 高龄 | 低龄 | ||||
|---|---|---|---|---|---|---|---|---|
| t | t+1 | t | t+1 | t | t+1 | t | t+1 | |
| TI | 0.0570*** (0.0216) | 0.0389* (0.0224) | 0.296*** (0.0517) | 0.289*** (0.0531) | 0.0675** (0.0332) | 0.0286 (0.0342) | 0.0612** (0.0253) | 0.0679** (0.0267) |
| AGE | -0.128*** (0.0460) | -0.115** (0.0453) | 0.431** (0.207) | 0.376* (0.196) | -0.133 (0.218) | -0.157 (0.223) | 0.451*** (0.0768) | 0.426*** (0.0750) |
| R&D | 0.0255** (0.0117) | 0.0254** (0.0119) | 0.179*** (0.0306) | 0.176*** (0.0314) | 0.0134 (0.0254) | 0.0288 (0.0254) | 0.0783*** (0.0124) | 0.0748*** (0.0128) |
| LIC | -0.0162 (0.0485) | -0.0336 (0.0511) | 0.0366 (0.0847) | 0.0489 (0.0898) | -0.0159 (0.0657) | -0.004 (0.0702) | -0.0996* (0.0553) | -0.133** (0.0581) |
| CONS | -0.717*** (0.210) | -0.416** (0.202) | -6.720*** (1.103) | -5.249*** (0.707) | -0.371 (1.069) | 0.0482 (1.087) | -3.169*** (0.264) | -2.807*** (0.248) |
| 个体/时间 固定效应 | YES | YES | YES | YES | YES | YES | YES | YES |
| 观测值 | 1140 | 1083 | 200 | 190 | 532 | 502 | 805 | 769 |
| Chi2 | 364.64 | 272.33 | 488.86 | 464.28 | 142.12 | 104.40 | 426.10 | 363.31 |
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